Forthcoming and Online First Articles

International Journal of Value Chain Management

International Journal of Value Chain Management (IJVCM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Value Chain Management (1 paper in press)

Regular Issues

  • Multi-objective robust planning approach to the problem of locating the allocation of organ transplant centres under conditions of uncertainty   Order a copy of this article
    by Mahdi Yousefi, Zohreh Khalilpourshiraz, Fahime Lotfian Delouyi, Elham Nejati 
    Abstract: This study highlights the crucial role of organ transplantation in healthcare, underscoring its vulnerability to corruption and the importance of timely processes and strategic selection of transplant centre locations. Our study introduces a robust mathematical model aiming to optimise hospitals and organ transplant centres locations, transportation strategies, and the flow of information and organs. The objectives are to minimise the overall cost of the organ transplant system and reduce the average waiting time for patients, using a G/G/m queue system for modelling. To tackle this model, the non-dominated sorting genetic algorithm (NSGA-II) is employed, ensuring an effective solution-finding process amid uncertainties. The results highlight the practicality of the model and the effectiveness of the algorithm, providing valuable insights for policymakers, organ transplant centres, and hospitals managers in optimising organ transplant supply chains under uncertain conditions.
    Keywords: supply chain management; SCM; organ transplantation; multi-objective optimisation; queuing theory; NSGA-II algorithm.
    DOI: 10.1504/IJVCM.2024.10063120
     

 

Return to top